{"id":"W4399212138","doi":"10.1016/j.stem.2024.05.003","title":"Naive pluripotent stem cell-based models capture FGF-dependent human hypoblast lineage specification","year":2024,"lang":"en","type":"article","venue":"Cell stem cell","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; University of Cambridge; Wellcome Trust","keywords":"Epiblast; Biology; Blastocyst; Cell biology; Embryonic stem cell; Stem cell; Fibroblast growth factor; Induced pluripotent stem cell; Embryo; Gastrulation; Genetics; Embryogenesis; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004425196,0.0005824178,0.0003800497,0.0002237671,0.0002697451,0.0002794417,0.0008056864,0.0005259245,0.0001275391],"category_scores_gemma":[0.000001561789,0.0005600826,0.0003738635,0.0002785656,0.0001267665,0.00002255072,0.0003200443,0.000588505,0.0006785491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002087801,"about_ca_system_score_gemma":0.0002881181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005553043,"about_ca_topic_score_gemma":0.00002431067,"domain_scores_codex":[0.9959447,0.0002576232,0.0006647359,0.001465706,0.0008059478,0.000861299],"domain_scores_gemma":[0.9979514,0.00005128613,0.0001842487,0.001198081,0.0002206334,0.0003943646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000928733,0.0003503233,0.00002773323,0.0008620913,0.00004073634,0.0001433906,0.0002275671,0.01429633,0.9746915,0.00003653947,0.008738079,0.0004928552],"study_design_scores_gemma":[0.0008991022,0.0003613043,0.00002169308,0.00007653736,0.00006218596,0.00001035425,0.0004927772,0.0140959,0.9326404,0.00002046717,0.0507045,0.0006147412],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8474505,0.02367647,0.03025139,0.0002875325,0.001514634,0.002221993,0.0003282341,0.0003052978,0.09396394],"genre_scores_gemma":[0.9158471,0.000460802,0.0001781672,0.0001067323,0.0005577448,0.0001040352,0.0005320875,0.0001553277,0.08205798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06839662,"threshold_uncertainty_score":0.999685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02152252098569118,"score_gpt":0.2452486412484628,"score_spread":0.2237261202627716,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}